A Study Of Black Hole Attack Solutions PDF Download
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Author | : Elahe Fazeldehkordi |
Publisher | : Syngress |
Total Pages | : 124 |
Release | : 2015-11-03 |
Genre | : Computers |
ISBN | : 0128053798 |
Download A Study of Black Hole Attack Solutions Book in PDF, ePub and Kindle
Mobile Ad Hoc Networks (MANETs) are a popular form of network for data transfer due to the fact that they are dynamic, require no fixed infrastructure, and are scalable. However, MANETs are particularly susceptible to several different types of widely perpetrated cyberattack. One of the most common hacks aimed at MANETs is the Black Hole attack, in which a particular node within the network displays itself as having the shortest path for the node whose packets it wants to intercept. Once the packets are drawn to the Black Hole, they are then dropped instead of relayed, and the communication of the MANET is thereby disrupted, without knowledge of the other nodes in the network. Due to the sophistication of the Black Hole attack, there has been a lot of research conducted on how to detect it and prevent it. The authors of this short format title provide their research results on providing an effective solution to Black Hole attacks, including introduction of new MANET routing protocols that can be implemented in order to improve detection accuracy and network parameters such as total dropped packets, end-to-end delay, packet delivery ratio, and routing request overhead. Elaborates on the basics of wireless networks, MANETs Explains the significance behind the need of wireless networks and MANET security Understand MANET routing protocols, namely the ADOV method
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Download A Study of Black Hole Attack Solutions Book in PDF, ePub and Kindle
Author | : Vinu V Das |
Publisher | : Springer |
Total Pages | : 693 |
Release | : 2010-04-03 |
Genre | : Computers |
ISBN | : 3642122140 |
Download Information Processing and Management Book in PDF, ePub and Kindle
It is my pleasure to write the preface for Information Processing and Management. This book aims to bring together innovative results and new research trends in inf- mation processing, computer science and management engineering. If an information processing system is able to perform useful actions for an obj- tive in a given domain, it is because the system knows something about that domain. The more knowledge it has, the more useful it can be to its users. Without that kno- edge, the system itself is useless. In the information systems field, there is conceptual modeling for the activity that elicits and describes the general knowledge a particular information system needs to know. The main objective of conceptual modeling is to obtain that description, which is called a conceptual schema. Conceptual schemas are written in languages called conceptual modeling languages. Conceptual modeling is an important part of requi- ments engineering, the first and most important phase in the development of an inf- mation system.
Author | : Sagayam, K. Martin |
Publisher | : IGI Global |
Total Pages | : 405 |
Release | : 2020-06-12 |
Genre | : Computers |
ISBN | : 1799850692 |
Download Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks Book in PDF, ePub and Kindle
Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.
Author | : E. Fazeldehkordi |
Publisher | : Createspace Independent Pub |
Total Pages | : 118 |
Release | : 2014-07-09 |
Genre | : Technology & Engineering |
ISBN | : 9781499568523 |
Download Comparative Study of Multiple Black Hole Attacks Solution Methods in Manet Using Aodv Routing Protocol Book in PDF, ePub and Kindle
Mobile Wireless Ad Hoc Networks (MANET) is non-centralized wireless networks that can be formulated without the need for any pre-existing infrastructure in which each node can act as a router. It must discover its local neighbours and through them it will communicate to nodes that are out of its transmission range. Various features like open medium, dynamic topology, lack of clear lines of defence, makes MANET vulnerable to security attacks. Ad hoc On-demand Distance Vector routing (AODV) is one of the best and popular routing algorithms. AODV is severely affected by well-known black hole attack in which a malicious node injects a faked route reply message that it has a fresh route to destination. In this book, MANET performance against single black hole attack has compared with its performance against multiple black hole attacks by using Intrusion Detection System (IDSAODV) routing protocol (Dokurer, 2006). The result are analysed using NS-2.35, through various network parameter bases: total drop packets, end to end delay, packet delivery ratio and routing request overhead. The results indicate IDSAODV solution method which is presented for single black hole attack before, can be used effectively for decreasing total drop packets and improving packet delivery ratio against multiple black hole attacks, also. But, the method doesn't have significant effect for improving end to end delay and routing request overhead.
Author | : James J. Park |
Publisher | : Springer Nature |
Total Pages | : 583 |
Release | : 2021-01-04 |
Genre | : Technology & Engineering |
ISBN | : 9811593434 |
Download Advances in Computer Science and Ubiquitous Computing Book in PDF, ePub and Kindle
This book presents the combined proceedings of the 11th International Conference on Computer Science and its Applications (CSA 2019) and the 14th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2019), both held in Macau, China, December 18–20, 2019. The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of ubiquitous computing technologies. These proceedings reflect the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis and novel applications of new processing techniques in engineering, science and other disciplines related to ubiquitous computing.
Author | : Pushpak Bhattacharyya |
Publisher | : Springer |
Total Pages | : 968 |
Release | : 2018-06-08 |
Genre | : Computers |
ISBN | : 9811086605 |
Download Smart and Innovative Trends in Next Generation Computing Technologies Book in PDF, ePub and Kindle
The two-volume set CCIS 827 and 828 constitutes the thoroughly refereed proceedings of the Third International Conference on Next Generation Computing Technologies, NGCT 2017, held in Dehradun, India, in October 2017. The 135 full papers presented were carefully reviewed and selected from 948 submissions. There were organized in topical sections named: Smart and Innovative Trends in Communication Protocols and Standards; Smart and Innovative Trends in Computational Intelligence and Data Science; Smart and Innovative Trends in Image Processing and Machine Vision; Smart Innovative Trends in Natural Language Processing for Indian Languages; Smart Innovative Trends in Security and Privacy.
Author | : Mohamed Ben Ahmed |
Publisher | : Springer Nature |
Total Pages | : 885 |
Release | : 2021-10-01 |
Genre | : Technology & Engineering |
ISBN | : 9811636370 |
Download Networking, Intelligent Systems and Security Book in PDF, ePub and Kindle
This book gathers best selected research papers presented at the International Conference on Networking, Intelligent Systems and Security, held in Kenitra, Morocco, during 01–02 April 2021. The book highlights latest research and findings in the field of ICT, and it provides new solutions, efficient tools, and techniques that draw on modern technologies to increase urban services. In addition, it provides a critical overview of the status quo, shares new propositions, and outlines future perspectives in networks, smart systems, security, information technologies, and computer science.
Author | : Michael Karner |
Publisher | : Springer Nature |
Total Pages | : 446 |
Release | : |
Genre | : |
ISBN | : 3031540492 |
Download Intelligent Secure Trustable Things Book in PDF, ePub and Kindle
Author | : Brij B. Gupta |
Publisher | : CRC Press |
Total Pages | : 333 |
Release | : 2019-02-05 |
Genre | : Computers |
ISBN | : 0429995717 |
Download Machine Learning for Computer and Cyber Security Book in PDF, ePub and Kindle
While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.